a. Interpret the adjusted r-square of this model.

b. Interpret the f-statistic and its significance.

c. c. Review the ANOVA table for the intercept and independent variables. Post the resulting coefficient, t-statistic, and p-value for each independent variable (Price and Promotion). Comment on the meaning a validity of the t-test and p-values for the intercept and your X variables.

d. d. Comment on the results of this model. How well does it explain the relationship and effect of price and promotion on sales?

MMARY OUTPUT Price Residual Plot Promotion Residual Plot Normal Probability Plot 2000 Regression Statistics 2000 6000 Multiple R 0.87047 1000 1000 4000 R Square 0.75773 Sales Residuals Residuals Adjusted R Squ 0.7421 2000 20 40 100 120 600 800 Standard Error 638.065 -1000 -1000 Observations 34 -2000 20 40 60 80 100 120 Price -2000 Promotion Sample Percentile ANOVA df SS MS F ignificance F Regression 2 3.9E+07 2E+07 48.4771 0.00 Price Line Fit Plot Promotion Line Fit Plot Residual 31 1.3E+07 407127 6000 5000 Tota 3 5.2E+07 4000 4000 Sales Sales .Sales O Coefficientsandard Err, t Stat P-value Lower 95%Upper 95%ower 95.09pper 95.0% 2000 2000 . Sales Intercept 5837.52 628.15 9.29319 0.00 4556.4 7118.64 4556.4 7118.64 Predicted Sales Predicted Sales Price -53.2173 6.85222 -7 -7.76644 0.00 -67.1925 -39.2421 -67.1925 -39.2421 0 50 100 150 0 200 400 600 800 Promotion 3.61306 0.68522 5.27283 0.00 2.21554 5.01058 2.21554 5.01058 Price Promotion